'%20d='M364.9%20143.2v98.9l-1.4%201.2-165.6%20140.4%2035.7%2029.7v-34.2l1.4-1.2%20123.4-105.4%206.5-5.6v37l-1.3%201.2-99.7%2085.8v84.7l-6.6-5.7-97-83.1-3.6-3%203.5-3%20174.4-150.6v-25.1L153.7%20360.5l-6.6%205.7v-98.9l1.4-1.2%20161.6-138-35.7-29.7v34.4L273%20134%20153.7%20236.7l-6.6%205.7v-37l1.3-1.2%2097-83.2V36.3L252%2042l97.1%2083.1%203.6%203-3.6%203-171.7%20147.7V304l106.2-90.6%2056.4-48.8%2018.3-15.7z'%20/%3e%3c/svg%3e)
Analytics
A notebook server,already running
JupyterLab on Miniconda, served straight to the browser.No desktop and no VNC — the notebook is the page.
JupyterLab 4.24 cores · 8 GBServed on 8888
hub://jupyter
$ dxflow workflow create --identity jupyter hub://jupyter
$ dxflow workflow start jupyter --link
01Pick a machinecores, memory and a rate per hour
02Create the workflowpulled from the hub, once
03Run it, then stopstopped when the work is done
The application
Notebooks, codeand the data beside them
JupyterLab on top of Miniconda, with conda and pip already there.
Notebooks and terminals
Cells, a file browser and a terminal, all inside the single page.
conda and pip
Miniconda sits on the PATH, so add numpy or pandas when you need.
It opens on your work
WORKING_DIR points at a folder under /volume, and it opens there.
The session
One port,and a sign-in page
The token is disabled, so the password is the only way in.
8888WebJupyterLab itself
/volumeStoragenotebooks and data
Open it from anywhereStart with --link and the page comes back on an HTTPS address.
Set a password firstPASSWORD defaults to dxflow, and everyone can read this page.
Run Jupyter Lab on your own machinePick a machine that meets it, and it opens about a minute after you ask.